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Record W2047199250 · doi:10.1890/1540-9295-7.4.228

Toxins and toddlers

2009· review· en· W2047199250 on OpenAlexaboutno aff
Katherine Ellison

Bibliographic record

VenueFrontiers in Ecology and the Environment · 2009
Typereview
Languageen
FieldMedicine
TopicPoisoning and overdose treatments
Canadian institutionsnot available
Fundersnot available
KeywordsQuarter (Canadian coin)PsychologySchizophrenia (object-oriented programming)Inheritance (genetic algorithm)Mental healthAttention deficit hyperactivity disorderPsychiatryMedicineDevelopmental psychologyHistoryGeneticsGeneBiology

Abstract

fetched live from OpenAlex

We hear the same story so often these days: a child is diagnosed with a learning disorder, and later the parent turns out to have it, too. Genes, after all, play a key role in many diagnoses du jour. Attention deficit/hyperactivity disorder (ADHD), which affects more than one in 15 US children, is more likely to be inherited than schizophrenia, and is only slightly less genetically determined than height. It is tempting to think there's a simple explanation for behaviors that often seem mystifying. I felt free to start blaming my own genes for my occasional rash judgment after discovering that my great-grandfather gambled away a family inheritance in Monte Carlo. Still, hand-me-down genes only tell a small part of the story regarding this era's rapidly expanding numbers of mental health diagnoses. Some genes get passed on but never turn on. Nuture –including what we eat, drink, and inhale – often outweighs nature. Scientists' concern about potential environmental contributions to learning disabilities dates back several years. In 2000, the National Academy of Sciences estimated that a quarter of known neurological deficits in children are likely due to some interaction between toxins in the environment and genes. Six years later, a report from the Harvard School of Public Health warned of a “silent pandemic” of behavioral and developmental disorders caused by chemicals that damage and destroy brain cells. It has long been known that many widely used toxic substances are capable of interfering with developing life. These include the billions of pounds of pesticides released annually in the US alone, in addition to some solvents and polychlorinated biphenyls (better known by their acronym, PCBs), banned for commercial use, but still present in our air and water. Recent lab tests by the Environmental Working Group have uncovered an average of 200 industrial chemicals in the umbilical cord blood of newborn humans. Virginia Rauh, deputy director of Columbia University's Center for Children's Environmental Health, has been studying chemical exposure in 700 children since 1998, and has found “significant” correlations between prenatal exposure to the common insecticide chlorpyrifos (now banned for household use in the US) and later ADHD-type symptoms. Joel T Nigg, a National Institutes of Health-funded research scientist at Michigan State University who specializes in ADHD research, calls this type of risk “both vast and unstudied”. Indeed, research on learning disorders has focused far more on genetics than on environmental factors, for understandable reasons. Environmental causes are technically more difficult to study, and also more controversial. Yet, as the number of diagnoses has increased –to the point where a startling one in six US children are now believed to have some form of learning disability – a new constituency of parents is pressing both scientists and policy makers for better answers, and increasing pressure on Washington to overhaul federal regulatory laws. This spring sees the launch of an ambitious research project, the National Children's Study. Led by the National Institute of Environmental Health Sciences, the Centers for Disease Control and Prevention, and the US Environmental Protection Agency, the study will investigate environmental influences on the health and development of more than 100 000 children – from before birth until age 21 – across the US. The newly organized parents' groups – along with other activists – aren't willing to wait for the final word from government scientists, however. They argue that enough is known about some ubiquitous toxins to initiate more effective regulation immediately. This would begin with an overhaul of the US Toxic Substances Control Act, now more than 30 years old, never amended, and widely regarded as the weakest piece of US environmental legislation. The Act included a “grandfather” clause that applied to 62 000 chemicals in wide use at the time, despite the lack of scientific data on their safety. Reformists say we need tougher rules, some of which are outlined in a bill first proposed in Congress last year – the Kid-Safe Chemicals Act – that would require the chemical industry to provide unequivocal evidence that products are safe for children. Energizing the calls for US reform is the European Union's recent upgrade of its toxic substances oversight, through a policy known as the Registration, Evaluation, Authorisation, and Restriction of Chemicals, or REACH. REACH requires all manufacturers – including US companies – that sell products in Europe to provide public data on the chemical hazards associated with those products. With a new administration in Washington that seems considerably more willing than the last one to wield regulatory power, it may not be much longer before Americans stop blaming their genes for their disorders and focus more on the chemical dangers to their children.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.063
Threshold uncertainty score0.125

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.002
Science and technology studies0.0060.002
Scholarly communication0.0040.002
Open science0.0010.005
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0290.009

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.012
GPT teacher head0.253
Teacher spread0.240 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreReview

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2009
Admission routes1
Has abstractyes

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